Brought to you by

Visual Studio Live! Video

Blog archive

Visual Studio Live! Redmond 2016: Windows for Makers -- Raspberry Pi, Arduino & IoT

In this session with Microsoft Senior Technical Evangelist Nick Landry, you'll learn about the tools, how to get started, what hardware you'll need, and how to build your first Windows hardware project on the Raspberry Pi. You'll also explore how you can extend your Windows 10 mobile projects with custom hardware using the Windows Arduino Remote, and how your Arduino projects can leverage Windows hardware as affordable virtual shields. Take your maker projects to the next level, and come learn valuable skills to prepare and extend your developer skills for the Internet of Things (IoT).

Posted on 07/22/2016 at 12:43 PM


comments powered by Disqus

Featured

  • What's New in Visual Studio 2019 v16.5 Preview 2

    The second preview of Visual Studio 2019 v16.5 has arrived with improvements across the flagship IDE, including the core experience and different development areas such as C++, Python, web, mobile and so on.

  • C# Shows Strong in Tech Skills Reports

    Microsoft's C# programming language continues to show strong in tech industry skills reports, with the most recent examples coming from a skills testing company and a training company.

  • Color Shards

    Sharing Data and Splitting Components in Blazor

    ASP.NET Core Version 3.1 has at least two major changes that you'll want to take advantage of. Well, Peter thinks you will. Depending on your background, your response to one of them may be a resounding “meh.”

  • Architecture Small Graphic

    Microsoft Ships Preview SDK, Guidance for New Dual-Screen Mobile Era

    Microsoft announced a new SDK and developer guidance for dealing with the new dual-screen mobile era, ushered in by the advent of ultra-portable devices such as the Surface Duo.

  • How to Create a Machine Learning Decision Tree Classifier Using C#

    After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now shows how to use the splitting and disorder code to create a working decision tree classifier.

.NET Insight

Sign up for our newsletter.

Terms and Privacy Policy consent

I agree to this site's Privacy Policy.

Upcoming Events